Associate Director Data Science - Late CVRM

Are you passionate about revealing insights from data that can improve the lives of patients? Then, join Late CVRM Biometrics at AstraZeneca and help us to achieve the next wave of breakthrough medicines aiming to make a difference for millions of patients!

Our aim is simple: to positively impact lives together. Using the power of science and innovation, our people improve the impact medicine has on patients. Together, we explore the world of science through our remarkable product pipeline. If your passion is science and you want to be part of a team that makes a positive impact on patients' lives, then there's no better place to be.

In the Cardiovascular, Renal and Metabolism (CVRM) therapy area, we are now opening up a new exciting opportunity within Late CVRM Biometrics as Associate Director Data Science to a candidate that can understand complex CVRM business questions; formulate solutions using advanced analytics and AI; and translating the results back to the business through visualizations and contextual storytelling to drive scientific breakthroughs.

This role will be based at AstraZeneca's R&D site in Gothenburg, Sweden, or Gaithersburg, US, and reports to Head of Data Science Late CVRM.

What you'll do

As an Associate Director Data Science, you will develop innovative analytics solutions, machine Learning models and advanced visualizations, to generate data-driven disease understanding and smarter study designs. You will contribute to the data science strategy within the CVRM Therapeutic Area (TA) and identify new opportunities for application of data science in the TA that deliver value to patients and AstraZeneca. Responsibilities include:

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Contribute to innovative strategic data science initiatives across Biometrics and the TA
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Use your leadership skills and entrepreneurial spirit to exploring new ideas and deliver effective solutions in collaboration with internal groups and/or external partners
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Develop analytics solutions with applicability both internally and externally (e.g. R packages)
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Establish and maintain effective collaboration with other internal Data Science organizations and external vendors and/or academic partners
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Provide senior stakeholders and functional leadership teams with specific expertise and advice regarding the best approaches to apply data science and related methodologies
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Maintain a broad awareness of the evolving external environment and make recommendations on outside technologies/approaches for company to pursue
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Represent skill/function internally and externally at seminars and meetings

Essential for the role

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MSc Degree in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative field
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Significant in depth experience in analyzing data, drawing conclusions and presenting in a succinct fashion to senior stakeholders, along with recommended actions
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Significant experience in the analysis of data in applied business and/or scientific application domains
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Computing skills: scientific computing, scripting and visualization of data (e.g. R, Python, Spotfire or PowerBI) and experience working with database systems (e.g. SQL, NoSQL, graph)
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Experience in data mining; machine learning; statistics and visualization
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Proven experience in leading and managing colleagues
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Excellent written and verbal communication skills

Desirable for the role

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Software development experience (e.g. R packages/CRAN, GitHub)
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PhD in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative field.
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Experience in clinical development
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Experience in a complex global organization

Why AstraZeneca?

At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare.

So, what's next?

Are you already imagining yourself joining us? Good, because we can't wait to hear from you!

Welcome with your application (CV and cover letter) no later than November 15th, 2022. We will review the applications continuously so please apply as soon as possible.

Where can I find out more?

https://careers.astrazeneca.com/biometrics

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